Escrito por estudiantes que aprobaron Inmediatamente disponible después del pago Leer en línea o como PDF ¿Documento equivocado? Cámbialo gratis 4,6 TrustPilot
logo-home
Examen

PREDICTIVE ANALYTICS CH. 9 EXAM QUESTIONS WITH CORRECT ANSWERS LATEST UPDATE 2026

Puntuación
-
Vendido
-
Páginas
4
Grado
A+
Subido en
11-02-2026
Escrito en
2025/2026

PREDICTIVE ANALYTICS CH. 9 EXAM QUESTIONS WITH CORRECT ANSWERS LATEST UPDATE 2026 Which of the following are true about classification algorithms? - Answers [1] They are the most used techniques in predictive analytics. [2] Classification algorithms are not limited to use by any single industry. [3] It is a form of supervised learning in which we wish to predict the class of each record in the data. Gartner reported that the value of firms heavily using predictive analytics was _____ higher than the norm. - Answers 200 to 300 percent Classification is a form of _____. - Answers supervised learning Which of the following are correct examples of predictive analytics use in industry? - Answers [1] Amazon used classification algorithms to up-sell or cross-sell to its customers. [2] Whirlpool Corporation uses classification algorithms to predict which dishwashers coming down the assembly line are likely or unlikely to fail. [3] eHarmony uses classification algorithms to classify individuals as either compatible or not compatible with eachother. Classification models would be useful for which of the following situations? - Answers [1] Deciding to treat one medical patient differently than another. [2] Making a decision who to send a mailing to. The Tobin's q for information-centered firms using predictive analytics were _____ higher than the average. - Answers 400 to 500 percent Which of the following would be the benefits of using categorizations? - Answers [1] Firms sell more product. [2] Health care is made more robust. [3] Banks suffer fewer loan defaults. Whirlpool Corporation uses classification algorithms to predict which dishwashers coming down the assembly line are likely or unlikely to fail. This is an example of what type of analytics? - Answers Predictive A real life application of classification would be _____. - Answers [1] Early detection of sepsis in hospitals. [2] An analytics algorithm assigned a category based on arrests, shootings, and affiliations with gang members. If you were trying to identify an unknown insect as either a katydid or a grasshopper, what are some characteristics you would use to aid in your identification? - Answers [1] How long is the abdomen? [2] Does it have wings? [3] How long are the antennas? The most used of the data mining algorithms are in the _____ category. - Answers classification Why is it a good idea to first graph the results of your classification? - Answers [1] Graphically looking at results lets you visually see classification relationships. [2] Graphically looking at results helps you identify geographical neighbors which will help in further identification. What does the "k" in k-Nearest-Neighbor refer to? - Answers The number of nearest neighbors used in determining a category correctly. When using k-Nearest-Neighbor, the training data set is _____. - Answers a subset of the total data available Which of the following statements are true for validation data? - Answers [1] Only use data that was not part of the training data set. [2] It is much like the difference between "in-sample" and "out-of-sample" test statistics in standard forecasting. [3] It is sometimes called testing data. What does the training data set do? - Answers It trains the model to correctly classify the unknown by selecting closeness to the k-nearest-neighbors. Which of the following are reasons why you would partition a data set? - Answers [1] It is a method for ensuring that no effectiveness statistics are drawn from the data used to create the model. [2] It is standard practice to divide the data set into partitions using some random procedure. [3] It produces reliable measure of the effectiveness of a data mining tool. T/F The real test of a data mining algorithm will be the statistics calculated from the training data, not the test statistics on the validation data. - Answers False What is the first step when using the data mining technique? - Answers Partition the data set. Diagnostics statistics for an estimated model would include which of the following? - Answers [1] The classification matrix [2] The lift chart If a calculation shows the percentage of the records that the model has placed in the incorrect category, then this would be called the _____. - Answers misclassification rate What do you do before building a data mining model? - Answers Partition the data set. What measures the change in concentration of a particular class when the model is used to select a group from a portion of the general population? - Answers Lift

Mostrar más Leer menos
Institución
PREDICTIVE ANALYTICS
Grado
PREDICTIVE ANALYTICS

Vista previa del contenido

PREDICTIVE ANALYTICS CH. 9 EXAM QUESTIONS WITH CORRECT ANSWERS LATEST UPDATE 2026

Which of the following are true about classification algorithms? - Answers [1] They are the most used
techniques in predictive analytics.

[2] Classification algorithms are not limited to use by any single industry.

[3] It is a form of supervised learning in which we wish to predict the class of each record in the data.
Gartner reported that the value of firms heavily using predictive analytics was _____ higher than the
norm. - Answers 200 to 300 percent
Classification is a form of _____. - Answers supervised learning
Which of the following are correct examples of predictive analytics use in industry? - Answers [1]
Amazon used classification algorithms to up-sell or cross-sell to its customers.

[2] Whirlpool Corporation uses classification algorithms to predict which dishwashers coming down
the assembly line are likely or unlikely to fail.

[3] eHarmony uses classification algorithms to classify individuals as either compatible or not
compatible with eachother.
Classification models would be useful for which of the following situations? - Answers [1] Deciding to
treat one medical patient differently than another.

[2] Making a decision who to send a mailing to.
The Tobin's q for information-centered firms using predictive analytics were _____ higher than the
average. - Answers 400 to 500 percent
Which of the following would be the benefits of using categorizations? - Answers [1] Firms sell more
product.

[2] Health care is made more robust.

[3] Banks suffer fewer loan defaults.
Whirlpool Corporation uses classification algorithms to predict which dishwashers coming down the
assembly line are likely or unlikely to fail. This is an example of what type of analytics? - Answers
Predictive
A real life application of classification would be _____. - Answers [1] Early detection of sepsis in
hospitals.

[2] An analytics algorithm assigned a category based on arrests, shootings, and affiliations with gang
members.
If you were trying to identify an unknown insect as either a katydid or a grasshopper, what are some
characteristics you would use to aid in your identification? - Answers [1] How long is the abdomen?

[2] Does it have wings?

[3] How long are the antennas?
The most used of the data mining algorithms are in the _____ category. - Answers classification
Why is it a good idea to first graph the results of your classification? - Answers [1] Graphically looking
at results lets you visually see classification relationships.

[2] Graphically looking at results helps you identify geographical neighbors which will help in further
identification.
What does the "k" in k-Nearest-Neighbor refer to? - Answers The number of nearest neighbors used
in determining a category correctly.
When using k-Nearest-Neighbor, the training data set is _____. - Answers a subset of the total data
available
Which of the following statements are true for validation data? - Answers [1] Only use data that was
not part of the training data set.

Escuela, estudio y materia

Institución
PREDICTIVE ANALYTICS
Grado
PREDICTIVE ANALYTICS

Información del documento

Subido en
11 de febrero de 2026
Número de páginas
4
Escrito en
2025/2026
Tipo
Examen
Contiene
Preguntas y respuestas

Temas

$11.49
Accede al documento completo:

¿Documento equivocado? Cámbialo gratis Dentro de los 14 días posteriores a la compra y antes de descargarlo, puedes elegir otro documento. Puedes gastar el importe de nuevo.
Escrito por estudiantes que aprobaron
Inmediatamente disponible después del pago
Leer en línea o como PDF

Conoce al vendedor

Seller avatar
Los indicadores de reputación están sujetos a la cantidad de artículos vendidos por una tarifa y las reseñas que ha recibido por esos documentos. Hay tres niveles: Bronce, Plata y Oro. Cuanto mayor reputación, más podrás confiar en la calidad del trabajo del vendedor.
joshuawesonga22 Liberty University
Ver perfil
Seguir Necesitas iniciar sesión para seguir a otros usuarios o asignaturas
Vendido
110
Miembro desde
1 año
Número de seguidores
2
Documentos
14773
Última venta
2 días hace
Tutor Wes

Hi there! I'm Tutor Wes, a dedicated tutor with a passion for sharing knowledge and helping others succeed academically. All my notes are carefully organized, detailed, and easy to understand. Whether you're preparing for exams, catching up on lectures, or looking for clear summaries, you'll find useful study materials here. Let’s succeed together!

3.4

12 reseñas

5
4
4
1
3
4
2
2
1
1

Por qué los estudiantes eligen Stuvia

Creado por compañeros estudiantes, verificado por reseñas

Calidad en la que puedes confiar: escrito por estudiantes que aprobaron y evaluado por otros que han usado estos resúmenes.

¿No estás satisfecho? Elige otro documento

¡No te preocupes! Puedes elegir directamente otro documento que se ajuste mejor a lo que buscas.

Paga como quieras, empieza a estudiar al instante

Sin suscripción, sin compromisos. Paga como estés acostumbrado con tarjeta de crédito y descarga tu documento PDF inmediatamente.

Student with book image

“Comprado, descargado y aprobado. Así de fácil puede ser.”

Alisha Student

Preguntas frecuentes